Web-based Data Mining Applications In Personalized Distance Learning System

Lifelong learning is the trend of current education development.Modem distancee ducation is the basis of lifelong learning system. The Distant Education System (DES) supported by computers plays an important role in distance learning. It bulids a platform based on computer networks for teachers and students. Today,the Web-based DES has become the main pattern of distance learning.This thesis emphasizes particularly on the techniques of data mining .Aimed at the quality problem and individualized demand in the process of distance education, we put forward that useful knowledge can be discovered through mining on abundant unusedhistory data. And the result of data mining can be used to improve the quality of distance education services for teachers,students and managers.At the beginning, we bring forward our mission in this thesis,after analyzing the actuality,problems and users'demand of distance education. Following it,we introduce the concepts,methods,techniques, and process of data mining and Web mining that can give us theoretical instruction. This thesis introduces the principle of Data Mining technology and the decision tree method. Then through the decision tree C4.5 algorithm in the research and analysis, extraction of experimental data structure mining model through a model of application analysis obtains rule sets, thus to provide students with personalized teach and guide.Following it, Discussion on the data model and structure of Page clustering algorithm and Web using and mining; and analysis on the Connection rule excavation algorithm and improvement algorithm. Advancing the model of individual teaching and learning system,enlarging the learning system of the traditional online teaching conditions, so that online education will suit the features of different learners by developing contents for each individual. The model has the feature that there are two nearly parallel mining processes to mine the Visit diary and Interactive data respectively.There is also an exposition on the Web mining process in this model using the methods of data mining. Finally through a model compound system realization, finished distance teaching system on learners' Web access to log in the mining process.